nlcpy.hstack

nlcpy.hstack(tup)

Stacks arrays in sequence horizontally (column wise).

This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit. This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.

Parameters

tupsequence of array_like

The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length.

Returns

stackedndarray

The array formed by stacking the given arrays.

参考

stack

Joins a sequence of arrays along a new axis.

vstack

Stacks arrays in sequence vertically (row wise).

concatenate

Joins a sequence of arrays along an existing axis.

Examples

>>> import nlcpy as vp
>>> a = vp.array([1, 2, 3])
>>> b = vp.array([2, 3, 4])
>>> vp.hstack((a,b))
array([1, 2, 3, 2, 3, 4])
>>> a = vp.array([[1], [2], [3]])
>>> b = vp.array([[2], [3], [4]])
>>> vp.hstack((a,b))
array([[1, 2],
       [2, 3],
       [3, 4]])